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Hands-On Data Science with SQL Server 2017

You're reading from   Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788996341
Length 506 pages
Edition 1st Edition
Languages
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Authors (2):
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Vladimír Mužný Vladimír Mužný
Author Profile Icon Vladimír Mužný
Vladimír Mužný
Marek Chmel Marek Chmel
Author Profile Icon Marek Chmel
Marek Chmel
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Table of Contents (14) Chapters Close

Preface 1. Data Science Overview FREE CHAPTER 2. SQL Server 2017 as a Data Science Platform 3. Data Sources for Analytics 4. Data Transforming and Cleaning with T-SQL 5. Data Exploration and Statistics with T-SQL 6. Custom Aggregations on SQL Server 7. Data Visualization 8. Data Transformations with Other Tools 9. Predictive Model Training and Evaluation 10. Making Predictions 11. Getting It All Together - A Real-World Example 12. Next Steps with Data Science and SQL 13. Other Books You May Enjoy

Preparing SQL Server

Microsoft SQL Server is very powerful engine for carrying out data science tasks. The server contains ML services that can be used for advanced R or Python analysis. Every feature offered within SQL Server, such as .NET integration or mail-sending, needs to be enabled in order for developers to be able to use them later. Machine learning also has to be enabled and configured correctly. This section shows which options to configure on the SQL Server, how to configure them, and also how to check whether the configuration is correct.

Setting up and configuring ML services

SQL Server's ML Services is based on a feature called satellite queries. The purpose of ML Services is to allow us to use languages...

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